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http://www.repositorio.ufop.br/jspui/handle/123456789/14444| Título : | Local search with groups of step sizes. |
| Autor : | Costa, Rodolfo Ayala Lopes Freitas, Alan Robert Resende de Silva, Rodrigo César Pedrosa |
| Palabras clave : | Continuous optimization Derivative-free local search |
| Fecha de publicación : | 2021 |
| Citación : | COSTA, R. A. L.; FREITAS, A. R. R. de; SILVA, R. C. P. Local search with groups of step sizes. Operations Research Letters, v. 49, p. 385-392, 2021. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S016763772100050X>. Acesso em: 25 ago. 2021. |
| Resumen : | Local search methods for continuous optimization problems tend to be sensitive to the choice of step sizes in their search directions. This paper presents the Local Search with Groups of Step Sizes (LSGSS) method, a derivative-free method that reactively updates groups of promising step sizes for each problem coordinate. The experiments demonstrate LSGSS could find the best solutions for each large-scale benchmark problem when compared to classical methods. |
| URI : | http://www.repositorio.ufop.br/jspui/handle/123456789/14444 |
| metadata.dc.identifier.uri2: | https://www.sciencedirect.com/science/article/abs/pii/S016763772100050X |
| metadata.dc.identifier.doi: | https://doi.org/10.1016/j.orl.2021.03.009 |
| ISSN : | 0167-6377 |
| Aparece en las colecciones: | DECOM - Artigos publicados em periódicos |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| ARTIGO_LocalSearchGroups.pdf Restricted Access | 575,07 kB | Adobe PDF | Visualizar/Abrir |
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